Exam Questions Classification Based on Bloom's Taxonomy: Approaches and Techniques

  • Karima Makhlouf
  • , Lobna Amouri
  • , Nada Chaabane
  • , Nahla El-Haggar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

One of the most popular guidelines used to write and evaluate the exam questions is Bloom's Taxonomy (BT). Since the past recent years, many researchers have worked on the automation of exam question classification into BT. This paper gives a through overview of the standard approaches and techniques used in question classification (QC) into BT cognitive levels including the preprocessing, the dimensionality reduction, the classification and the evaluation stages. A comparison of some recent works related to the subject is also presented in this study.

Original languageEnglish
Title of host publication2020 2nd International Conference on Computer and Information Sciences, ICCIS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154671
DOIs
StatePublished - 13 Oct 2020
Event2nd International Conference on Computer and Information Sciences, ICCIS 2020 - Sakaka, Saudi Arabia
Duration: 13 Oct 202015 Oct 2020

Publication series

Name2020 2nd International Conference on Computer and Information Sciences, ICCIS 2020

Conference

Conference2nd International Conference on Computer and Information Sciences, ICCIS 2020
Country/TerritorySaudi Arabia
CitySakaka
Period13/10/2015/10/20

Keywords

  • Bloom's Taxonomy (BT)
  • Dimensionality Reduction
  • Evaluation
  • NLP
  • Preprocessing
  • Question Classification (QC)

Fingerprint

Dive into the research topics of 'Exam Questions Classification Based on Bloom's Taxonomy: Approaches and Techniques'. Together they form a unique fingerprint.

Cite this